Source code for dataio.schemas.bonsai_api.dims

from typing import Optional

from pydantic import Field

from dataio.schemas.bonsai_api.base_models import DimensionModel


[docs] class Level(DimensionModel): name: str code: str description: Optional[str] = None comment: Optional[str] = None
[docs] class ClassificationNode(DimensionModel): code: str parent_code: Optional[str] = None level: Optional[str] = None description: Optional[str] = None comment: Optional[str] = None
[docs] class Location(ClassificationNode): def __str__(self) -> str: return self.name
[docs] class ActivityType(ClassificationNode): # flow_type: str = Field(None, max_length=30) def __str__(self) -> str: return self.description
[docs] class FlowObject(ClassificationNode): def __str__(self) -> str: return self.description
[docs] class Market(ClassificationNode): def __str__(self) -> str: return self.description
[docs] class Unit(DimensionModel): scientific_notation: str = Field(..., max_length=50) name: Optional[str] = Field(None, max_length=50) description: Optional[str] = None unit_dimension: str def __str__(self) -> str: return self.short_name
[docs] class UnitConversion(DimensionModel): unit: str reference_unit: str conversion_factor: float
[docs] class Calendar(DimensionModel): description: str def __str__(self) -> str: return self.code
[docs] class Year(DimensionModel): name: str calendar: str def __str__(self) -> str: return self.code
[docs] class DataQuality(DimensionModel): name: str code: str description: Optional[str] = None comment: Optional[str] = None
[docs] class UncertaintyDistribution(DimensionModel): name: str code: str description: Optional[str] = None comment: Optional[str] = None
[docs] class ChemicalCompound(DimensionModel): name: str code: str description: Optional[str] = None comment: Optional[str] = None
[docs] class Compartment(DimensionModel): name: str code: str description: Optional[str] = None comment: Optional[str] = None
[docs] class LCIA(DimensionModel): name: str code: str description: Optional[str] = None comment: Optional[str] = None
# Used for fact tables and collection of flags.
[docs] class ExternalDimensionTables(DimensionModel): description: str comment: Optional[str] = None urn: Optional[str] = None